Alibaba-NLP
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gte-Qwen2-7B-instruct

Sentence Similarity

sentence-transformers

text-generation

text-embeddings-inference

Inference Endpoints

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zyznull commited on Jun 16

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@@ -3779,7 +3779,7 @@ You can use the [scripts/eval_mteb.py](https://huggingface.co/Alibaba-NLP/gte-Qw
 | [e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) |   66.63   |   60.81    |
 | [gte-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) |   67.34   |   69.52    |
 | [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) |   69.32   |     -      |
-| [**gte-Qwen2-7B-instruct**](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) | **70.04** | **71.98**  |
 ### GTE Models

 | [e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) |   66.63   |   60.81    |
 | [gte-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) |   67.34   |   69.52    |
 | [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) |   69.32   |     -      |
+| [**gte-Qwen2-7B-instruct**](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) | **70.24** | **72.05**  |
 ### GTE Models